xgEdge

Fantasy Premier League

Best value in the game

Every player the game would let you field, projected over the rounds ahead and priced against them. The board is ranked on the model's own currency; the value column is one click away.

Best value in the game

Dara O'Shea

DEF · IPS · 4.0m · owned by 2.7%

3.40

Value

every bar on one axis of 0 to 5.0

That is 13.6 projected points over the rounds ahead, weighted so the round in front of him counts for most.

Gameweek 6 · 8-round window · feed of 01/10 11:39

Dara O'Shea is the best value on the board: 3.40 points per million, from 13.6 over 8 rounds at 4.0m.

Price

4.0m

What the game charges for him today, which is what the value column divides by.

Ahead

13.6

His weighted score over the next 8 rounds, and the currency this board is ranked in.

Own

2.7%

The share of managers already holding him.

The top five on this board

The board as your controls leave it — the same five that open the table below.

  1. Ranked 1 Erling Haaland
    FWD MCI vs
    20.6 Ahead
    Value
    1.32
    Price
    15.6m
    Own
    74%
    2.8
    1. LIV (A)
    2. IPS (H)
    3. AVL (A)
    4. BHA (H)
    5. NFO (A)
    6. FUL (H)
    7. ARS (A)
    8. LEE (H)
  2. Ranked 2 Bruno Fernandes
    MID MUN vs
    17.5 Ahead
    Value
    1.47
    Price
    11.9m
    Own
    39%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
    6. LIV (A)
    7. BRE (H)
    8. NEW (A)
  3. Ranked 3 Bryan Mbeumo
    MID MUN vs
    17.4 Ahead
    Value
    2.20
    Price
    7.9m
    Own
    21%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
    6. LIV (A)
    7. BRE (H)
    8. NEW (A)
  4. Ranked 4 Gabriel Magalhães
    DEF ARS vs
    16.6 Ahead
    Value
    2.08
    Price
    8.0m
    Own
    23%
    2.4
    1. LEE (H)
    2. NFO (A)
    3. EVE (H)
    4. LIV (A)
    5. HUL (H)
    6. NEW (A)
    7. MCI (H)
    8. BRE (A)
  5. Ranked 5 Pascal Groß
    MID BHA vs
    16.5 Ahead
    Value
    2.85
    Price
    5.8m
    Own
    29%
    2.6
    1. SUN (A)
    2. CRY (H)
    3. LIV (A)
    4. MCI (A)
    5. BRE (H)
    6. HUL (A)
    7. NEW (H)
    8. BOU (A)
Position
All GKP DEF MID FWD
Minutes played
Any 90+ 270+ 450+ 900+
At least
Any Very safe Safe Rotation risk
Rounds ahead
3 rounds 5 rounds 8 rounds
Price
Enter your squad to mark what you already own and what you could afford →
Showing 49 of 49 players 49 of 487 match your filters Clear filters
1 Erling Haaland 20.6
FWD vs MCI · 15.6m 92%
Value
1.32
Pts
4.6
xGI
0.99
Own
74%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
2 Bruno Fernandes 17.5
MID vs MUN · 11.9m 92%
Value
1.47
Pts
4.4
xGI
0.77
Own
39%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
3 Bryan Mbeumo 17.4
MID vs MUN · 7.9m 92%
Value
2.20
Pts
4.4
xGI
0.77
Own
21%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
4 Gabriel Magalhães 16.6
DEF vs ARS · 8.0m 92%
Value
2.08
Pts
4.3
xGI
0.14
Own
23%
Mins
450
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
  6. NEW (A)
  7. MCI (H)
  8. BRE (A)
5 Pascal Groß 16.5
MID vs BHA · 5.8m 92%
Value
2.85
Pts
3.8
xGI
0.52
Own
29%
Mins
450
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
  4. MCI (A)
  5. BRE (H)
  6. HUL (A)
  7. NEW (H)
  8. BOU (A)
6 António Silva 16.5
DEF vs BOU · 5.0m 92%
Value
3.29
Pts
3.8
xGI
0.23
Own
0.4%
Mins
450
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
7 Vitaly Janelt 16.5
MID vs BRE · 5.0m 92%
Value
3.29
Pts
4.0
xGI
0.20
Own
2.5%
Mins
450
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
8 David Raya Martín 16.3
GKP vs ARS · 6.1m 92%
Value
2.67
Pts
4.1
xGI
0.00
Own
42%
Mins
450
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
  6. NEW (A)
  7. MCI (H)
  8. BRE (A)
9 James Tarkowski 16.2
DEF vs EVE · 6.2m 92%
Value
2.61
Pts
3.9
xGI
0.05
Own
17%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
10 Granit Xhaka 16.1
MID vs SUN · 5.5m 92%
Value
2.93
Pts
4.0
xGI
0.27
Own
3.6%
Mins
450
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
  4. COV (A)
  5. CHE (H)
  6. AVL (A)
  7. TOT (H)
  8. LIV (A)
11 Morgan Gibbs-White 16.1
MID vs NFO · 8.0m 92%
Value
2.01
Pts
3.9
xGI
0.59
Own
16%
Mins
450
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
  6. BOU (A)
  7. CHE (H)
  8. HUL (A)
12 James Trafford 15.7
GKP vs LEE · 5.0m 92%
Value
3.14
Pts
3.7
xGI
0.00
Own
5.5%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
13 Tarik Muharemović 15.6
DEF vs LEE · 5.0m 92%
Value
3.11
Pts
3.5
xGI
0.11
Own
4.3%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
14 Konstantinos Tzolakis 15.4
GKP vs HUL · 4.7m 92%
Value
3.28
Pts
3.8
xGI
0.00
Own
13%
Mins
450
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
  4. IPS (H)
  5. ARS (A)
  6. BHA (H)
  7. CRY (A)
  8. NFO (H)
15 Senne Lammens 15.1
GKP vs MUN · 4.9m 92%
Value
3.07
Pts
3.8
xGI
0.00
Own
9.9%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
16 Alisson Becker 15.0
GKP vs LIV · 5.5m 92%
Value
2.73
Pts
3.6
xGI
0.00
Own
4.1%
Mins
450
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
  6. MUN (H)
  7. EVE (A)
  8. SUN (H)
17 Chris Richards 14.9
DEF vs CRY · 4.9m 92%
Value
3.04
Pts
3.8
xGI
0.03
Own
0.6%
Mins
450
  1. NFO (H)
  2. BHA (A)
  3. NEW (H)
  4. TOT (A)
  5. LIV (H)
  6. COV (A)
  7. HUL (H)
  8. CHE (A)
18 Kiernan Dewsbury-Hall 14.8
MID vs EVE · 6.6m 92%
Value
2.25
Pts
3.5
xGI
0.37
Own
6.0%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
19 Jarrad Branthwaite 14.8
DEF vs EVE · 5.5m 92%
Value
2.70
Pts
3.6
xGI
0.03
Own
2.4%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
20 Ethan Ampadu 14.8
MID vs LEE · 5.4m 92%
Value
2.74
Pts
3.4
xGI
0.07
Own
0.9%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
21 James Hill 14.6
DEF vs BOU · 5.5m 92%
Value
2.66
Pts
3.4
xGI
0.16
Own
0.8%
Mins
450
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
22 Sven Botman 14.5
DEF vs NEW · 5.0m 92%
Value
2.89
Pts
3.5
xGI
0.04
Own
0.7%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
  6. ARS (H)
  7. BHA (A)
  8. MUN (H)
23 Marc Guéhi 14.4
DEF vs MCI · 6.0m 92%
Value
2.39
Pts
3.1
xGI
0.27
Own
18%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
24 Bernd Leno 14.3
GKP vs FUL · 4.5m 92%
Value
3.18
Pts
3.3
xGI
0.00
Own
3.4%
Mins
450
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
  6. MCI (A)
  7. BOU (H)
  8. TOT (A)
25 Gianluigi Donnarumma 14.3
GKP vs MCI · 5.5m 92%
Value
2.59
Pts
3.3
xGI
0.00
Own
7.6%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
26 Virgil van Dijk 14.3
DEF vs LIV · 6.5m 92%
Value
2.19
Pts
3.4
xGI
0.07
Own
16%
Mins
450
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
  6. MUN (H)
  7. EVE (A)
  8. SUN (H)
27 Kristoffer Ajer 14.2
DEF vs BRE · 4.5m 92%
Value
3.15
Pts
3.4
xGI
0.05
Own
3.9%
Mins
450
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
28 James Justin 14.2
DEF vs LEE · 4.5m 92%
Value
3.15
Pts
3.2
xGI
0.12
Own
1.4%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
29 Adrien Truffert 14.1
DEF vs BOU · 5.4m 92%
Value
2.61
Pts
3.3
xGI
0.08
Own
3.0%
Mins
450
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
30 Caoimhín Kelleher 13.9
GKP vs BRE · 5.0m 92%
Value
2.78
Pts
3.3
xGI
0.00
Own
6.1%
Mins
450
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
31 Harvey Barnes 13.8
MID vs NEW · 6.1m 92%
Value
2.26
Pts
3.3
xGI
0.22
Own
5.7%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
  6. ARS (H)
  7. BHA (A)
  8. MUN (H)
32 Jordan Pickford 13.7
GKP vs EVE · 5.5m 92%
Value
2.49
Pts
3.3
xGI
0.00
Own
9.1%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
33 Dara O'Shea 13.6
DEF vs IPS · 4.0m 92%
Value
3.40
Pts
3.4
xGI
0.06
Own
2.7%
Mins
450
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
  6. TOT (A)
  7. AVL (H)
  8. COV (A)
34 Leif Davis 13.6
DEF vs IPS · 4.0m 92%
Value
3.40
Pts
3.5
xGI
0.41
Own
6.9%
Mins
450
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
  6. TOT (A)
  7. AVL (H)
  8. COV (A)
35 Carl Rushworth 13.3
GKP vs COV · 4.5m 92%
Value
2.96
Pts
3.4
xGI
0.00
Own
0.8%
Mins
450
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
  4. SUN (H)
  5. EVE (A)
  6. CRY (H)
  7. LEE (A)
  8. IPS (H)
36 Đorđe Petrović 13.3
GKP vs BOU · 4.5m 92%
Value
2.96
Pts
3.1
xGI
0.00
Own
3.0%
Mins
450
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
37 Bart Verbruggen 13.3
GKP vs BHA · 4.5m 92%
Value
2.95
Pts
3.1
xGI
0.04
Own
22%
Mins
450
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
  4. MCI (A)
  5. BRE (H)
  6. HUL (A)
  7. NEW (H)
  8. BOU (A)
38 Antonín Kinský 13.2
GKP vs TOT · 4.5m 92%
Value
2.94
Pts
2.9
xGI
0.00
Own
17%
Mins
450
  1. MUN (A)
  2. COV (H)
  3. CHE (A)
  4. CRY (H)
  5. LEE (A)
  6. IPS (H)
  7. SUN (A)
  8. FUL (H)
39 Harry Maguire 13.1
DEF vs MUN · 4.8m 92%
Value
2.74
Pts
3.5
xGI
0.13
Own
8.6%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
40 Matz Sels 13.1
GKP vs NFO · 5.0m 92%
Value
2.61
Pts
3.2
xGI
0.00
Own
1.6%
Mins
450
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
  6. BOU (A)
  7. CHE (H)
  8. HUL (A)
41 Issa Diop 13.0
DEF vs IPS · 4.0m 92%
Value
3.25
Pts
3.3
xGI
0.04
Own
13%
Mins
450
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
  6. TOT (A)
  7. AVL (H)
  8. COV (A)
42 Lukás Hornícek 13.0
GKP vs NEW · 5.0m 92%
Value
2.59
Pts
3.1
xGI
0.00
Own
1.5%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
  6. ARS (H)
  7. BHA (A)
  8. MUN (H)
43 Vitalii Mykolenko 12.9
DEF vs EVE · 4.6m 92%
Value
2.80
Pts
3.1
xGI
0.04
Own
4.2%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
44 Neco Williams 12.6
DEF vs NFO · 5.0m 92%
Value
2.51
Pts
3.1
xGI
0.20
Own
8.7%
Mins
450
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
  6. BOU (A)
  7. CHE (H)
  8. HUL (A)
45 Robin Roefs 12.5
GKP vs SUN · 4.9m 92%
Value
2.54
Pts
2.9
xGI
0.00
Own
2.4%
Mins
450
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
  4. COV (A)
  5. CHE (H)
  6. AVL (A)
  7. TOT (H)
  8. LIV (A)
46 Malick Thiaw 12.3
DEF vs NEW · 5.0m 92%
Value
2.47
Pts
3.0
xGI
0.02
Own
2.2%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
  6. ARS (H)
  7. BHA (A)
  8. MUN (H)
47 Rúben Dias 12.3
DEF vs MCI · 5.5m 92%
Value
2.24
Pts
2.7
xGI
0.21
Own
1.9%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
48 Calvin Bassey 11.7
DEF vs FUL · 4.5m 92%
Value
2.60
Pts
2.6
xGI
0.05
Own
0.7%
Mins
450
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
  6. MCI (A)
  7. BOU (H)
  8. TOT (A)
49 Victor Lindelöf 11.5
DEF vs AVL · 4.5m 92%
Value
2.55
Pts
2.9
xGI
0.12
Own
0.3%
Mins
450
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
  6. SUN (H)
  7. IPS (A)
  8. EVE (H)
each row's Ahead, drawn to scale every bar on one axis of 0 to 25

What this board is, and what it is not

Every ranking here is in expected points or in the weighted score for the rounds ahead, which are the units this model is measured in. The value column is those figures restated over a price — it is a way of scanning the board, and nothing on this site backtests it.

Bonus points are projected nowhere on this site, so they are in none of these figures.

The window score is points times weight rather than points. The 8 weights sum to 4.16, so a window score is never a total anybody could add up from the per-round figures beside it.

The price is what he costs today. What the game would pay for a player who has risen is less, so a value figure is an estimate of a purchase rather than of a sale.

The board is every player the game would let you field, the flagged included — whether a doubtful player is worth picking is a judgement the projection makes with his published chance of playing, not one made by hiding him.

What is measured here, and what is not

  • Measured The projected points

    Replayed against gameweek 2 after it was played: an average miss of 1.617 points a player, against 1.842 for “predict what he has averaged so far”, over 456 players. Recorded Sunday, 6 September 2026 and refreshed by hand, so the date is part of the claim.

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